Incorporating Breast Cancer Recurrence Events Into Population-Based Cancer Registries Using Medical Claims: Cohort Study.

ABSTRACT:

Background

There is a need for automated approaches to incorporate information on cancer recurrence events into population-based cancer registries.

Objective

The aim of this study is to determine the accuracy of a novel data mining algorithm to extract information from linked registry and medical claims data on the occurrence and timing of second breast cancer events (SBCE).

Methods

We used supervised data from 3092 stage I and II breast cancer cases (with 394 recurrences), diagnosed between 1993 and 2006 inclusive, of patients at Kaiser Permanente Washington and cases in the Puget Sound Cancer Surveillance System. Our goal was to classify each month after primary treatment as pre- versus post-SBCE. The prediction feature set for a given month consisted of registry va

SUBMITTER: A'mar T 

PROVIDER: S-EPMC7459434 | biostudies-literature | 2020 Aug

REPOSITORIES: biostudies-literature